OverviewQuest's Software Center for Advanced AI Architecture in Cork, Ireland is seeking experienced engineers ready to take ownership of critical AI infrastructure and deployment systems. As the central hub for AI innovation across Quest's entire SaaS platform ecosystem, it will shape the future of enterprise AI solutions that serve millions of users worldwide.Ready to drive your own AI engineering projects while making a direct impact on production systems? As part of our Software Center for Advanced AI Architecture, you'll independently design and implement scalable AI solutions using cutting-edge deployment technologies and cloud-native architecture. You'll have the opportunity to own complete system components, collaborate closely with data scientists to productionize models, and mentor junior engineers while continuing to expand your technical expertise. If you're looking to move beyond implementing others' designs to architecting your own AI solutions, this is where you make that transition.As a Mid-Level AI Engineer, you will design and implement AI-powered solutions on Microsoft Azure. You'll take ownership of specific AI system components, work independently on deployment strategies, and collaborate closely with both data scientists and senior engineers to deliver scalable, production-ready AI systems.ResponsibilitiesDesign and implement AI/ML model deployment pipelines on Azure (Azure ML, AKS, Azure Functions)Build scalable REST APIs and microservices for AI model serving using C#/.NET and PythonImplement monitoring and automated retraining systems for production AI modelsIntegrate AI solutions with Microsoft enterprise technologies (Entra ID, Microsoft 365)Optimize model inference performance and deployment costsMentor junior team members and contribute to AI best practicesRequiredQualificationsBachelor's degree in Computer Science, Engineering, or related field5+ years of software engineering experience with AI/ML focusStrong experience with Python and C#/.NET developmentHands-on experience with Azure ML, containerization (Docker, Kubernetes), and CI/CDUnderstanding of machine learning model deployment and MLOps practicesNice To HaveExperience with Azure OpenAI and Cognitive ServicesKnowledge of infrastructure-as-code (Terraform, ARM templates)Experience with microservices architectureCompany OverviewQuest Software builds the foundation for enterprise AI with solutions indata governance, cybersecurity, and platform modernization. More than 45,000 companies — including 90% of the Fortune 500 — trust Quest to solve their most critical IT challenges. From securing identities and modernizing platforms to preparing data for AI, we help enterprises unlock their full potential.Why QuestAt Quest, Your Work Makes An Impact. You'll Help Organizations Get AI-ready While Building Your Career With a Global Team Of Innovators. We OfferCompetitive pay, annual bonuses, and top-performer recognition.Comprehensive health, family, and retirement benefits.Flexible work options, generous PTO, and wellness programs.Professional growth through learning platforms, mentorship, and leadership programs.Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council.